Developed Automated README Generation and Flow Fixer

📅 2025-04-24 — Session: Developed Automated README Generation and Flow Fixer

🕒 18:20–19:40
🏷️ Labels: Automation, Promptflow, README, DAG, Python
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to enhance automation processes by developing tools for README generation and flow fixing in PromptFlow.

Created JSONL entries for defining meta-flows, focusing on automation and orchestration.
Standardized input schema and DAG structure for data processing flows using Python and Jinja.
Designed a dynamic folder analysis approach to improve modularity and reusability.
Developed a YAML DAG for generating README files using Azure ML’s prompt flow.
Implemented Python scripts (read_folder_files.py and write_readme.py) to handle file reading and README writing tasks.
Fixed output references in PromptFlow to ensure correct output handling.
Audited and updated README documentation to align with actual flow designs and functionalities.
Proposed a self-healing packaging system, ‘flow fixer’, to automate detection and repair of configuration inconsistencies.
Designed a modular flow fixer pipeline using a DAG architecture with Python, Jinja, and LLM components.

Successfully developed and refined tools for automated README generation and flow fixing.
Enhanced the modularity and reusability of folder-based workflows.

Further testing and validation of the self-healing packaging system to ensure robustness.
Integration of the modular flow fixer pipeline into existing workflows.